If you're using Cursor (and honestly, why wouldn't you be), you've probably heard about MCP. It's how you give Claude access to your databases, APIs, and tools right inside the editor.
My first MCP server took three hours to get working because I made every possible mistake: no logging, broke stdio with print statements, forgot to restart Claude Desktop, and wondered why nothing worked. Your first one should take 30 minutes.
This is what actually works, with the debugging steps I wish I'd known upfront.
Build and test your first MCP server in 30 minutes—with hot reload, proper logging, and real Claude Desktop integration. Learn what actually works.
For the first month or two of building agents on Claude, I spent most of my debugging time staring at hallucinated API endpoints. The model would confidently POST to URLs that didn't exist, invent function names, and produce JSON that wouldn't parse. Switching the integration over to the Model Context Protocol (MCP) didn't fix everything, but it removed the entire class of "the model made up an endpoint" failures, which were the bulk of what we were chasing.
The rest of this post is the explanation I wish I'd had on day one.
A practical introduction to the Model Context Protocol (MCP) with real examples, common pitfalls, and why it matters for building AI agents that actually work.